# Phi Nguyen > Senior React / TypeScript Engineer | GraphQL · AWS · Apollo Location: Los Angeles Metropolitan Area, United States Profile: https://flows.cv/phinguyen Senior React/TypeScript engineer with 4 years of experience building production systems at Amazon Studios and PDS Health. At PDS, I built a scheduling platform used by 5100+ monthly active users — React, TypeScript, GraphQL, real-time data, performance-critical UI. At Amazon Studios, I worked on a micro-frontend component library serving multiple internal product teams. AWS certified (Solutions Architect, Security Specialty, Developer, SysOps). Looking for senior frontend or full-stack contract or FTE roles where the UI is doing real work ## Work Experience ### Senior Software Engineer @ PDS Health Jan 2024 – Present | Irvine, California, United States - Architected and released a comprehensive clinical scheduling system as a two-engineer team, processing 7,650+ schedules monthly for 5100+ monthly active users with drag-and-drop functionality, multi-role calendar views (Scheduler, Office Manager, Provider, Assistant) and advanced filtering capabilities using TypeScript, Jotai atomic state management, and Apollo Client for GraphQL data fetching - Led the migration from Redux to Jotai atomic pattern for a hierarchical filter state management system managing 5 interdependent filter levels (Region → Manager → Office → Provider → Assistant) with automatic GraphQL query composition enabling complex UI interactions, reducing global state complexity, and significantly increasing team development velocity - Identified and resolved critical performance bottleneck in calendar scheduling system by implementing intelligent date range filtering and lazy loading, reducing GraphQL query latency, network requests, and eliminating arbitrary 1000-record limits - Deployed production-grade Cypress E2E testing infrastructure using Page Object Model pattern for automated regression testing covering multi-user workflows, drag-and-drop operations, hierarchical filtering, and GraphQL operations - Led the Liquibase integration of a metadata-driven backend framework (YAML→ Rust/SQL/GraphQL codegen), where schemas, CTE-based queries, and routes are generated from declarative configs—dramatically accelerating schema evolution with automatic tracking of database changes. - Architected and implemented an end-to-end location management system in Rust, orchestrating the batch sync of 1100+ dental office locations across a 4-tier organizational hierarchy (Regions → Markets → Offices → Managers) while mapping complex FHIR-like MongoDB documents to normalized SQL tables in Postgres ### Software Engineer, Frontend - ProServe @ Amazon Web Services (AWS) Jan 2021 – Jan 2023 Amazon Studios engagement - Implemented core features for a content metadata management micro-app enabling data stewards to create and configure content through dynamically-populated React Hook Forms with Zod schema validation and integrating seamlessly with GraphQL APIs, achieving 100% legacy platform migration with improved data integrity - Architected and deployed core micro-frontend infrastructure via CDK in TypeScript, incorporating a dynamic configuration store for real-time access and application data management, which enabled micro-apps to have their own decentralized data store - Designed and implemented core navigational components using Material UI and React within a shared component library, ensuring a consistent user experience across micro-apps; facilitated adoption by over 80% of teams within three months through training sessions and extensive documentation in Storybook - Optimized micro-frontend AWS Lambda infrastructure with provisioned concurrency via CDK in Typescript, significantly enhancing user performance by reducing initial data fetch times by 6 seconds on cold starts across 5 micro-apps - Designed and implemented a feature flagging framework that leverages React Context / Hooks for state management and local storage for persistent application data, streamlining CI/CD processes across 5 micro-apps and shortening feature release cycles - Implemented comprehensive unit and integration tests using React Testing Library and Cypress, achieving over 90% code coverage that significantly enhanced our regression testing capability and reduced bugs in production - Collaborated closely with UX/UI designers and product managers to translate business requirements and Figma designs into actionable development tasks, ensuring accurate and timely project deliverables. - Provided mentorship to junior developers, offering structured guidance on best practices in web development, effective code review techniques, and strategic career growth ### Cloud Application Architect @ Amazon Web Services (AWS) Jan 2020 – Jan 2021 | Irvine, California, United States - Architected and released remote automation tooling for the open-source CloudEndure Migration Factory Solution using server-less architecture, eliminating the need for manual SSH access to migrate 1000+ servers and increasing operational efficiency by 10 hours per large-scale migration. - Designed and implemented a dashboard in React for the remote automation feature, enabling users to upload, manage, and run automation script jobs, and establishing a new streamlined workflow for managing automation tasks. - Architected a real-time logging capability for the migration factory using AWS API Gateway WebSockets, enabling the pushing of server output logs from CloudWatch to a single-pane interface, significantly improving user experience  - Designed and implemented a system for version-controlling automation scripts using number-based versioning in DynamoDB, enhancing the organization and traceability of code changes ### Computer Science Instructor @ Juni Learning Jan 2020 – Jan 2020 ### Cloud Application Intern @ Amazon Web Services (AWS) Jan 2019 – Jan 2019 | Greater Boston Area Drove UI automation test coverage by 92% via Cypress in Typescript for a COVID testing kit web platform, reducing manual QA effort from 10 hours to 1.5 hours per deployment, resulting in an aggregate effort saving of 26 days per year ## Education ### Bachelor's degree in Cognitive Science w/ Spec. in Machine Learning & Neural Computation UC San Diego Jan 2016 – Jan 2020 ### High School Diploma Rancho Alamitos High School Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/phi-nguyen-361245158 --- Source: https://flows.cv/phinguyen JSON Resume: https://flows.cv/phinguyen/resume.json Last updated: 2026-03-29